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Cognitive decline monitoring through a web-based application

Cognitive decline usually begins after individuals reach maturity, which is more evident in late adulthood. Rapid and constant cognitive screenings allow early detection of cognitive decline and motivate individuals to participate in prevention interventions. Due to accelerated technological advance...

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Autores principales: Sánchez-Vincitore, Laura V., Cubilla-Bonnetier, Daniel, Marte-Santana, Hugo, Duñabeitia, Jon Andoni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585037/
https://www.ncbi.nlm.nih.gov/pubmed/37869371
http://dx.doi.org/10.3389/fnagi.2023.1212496
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author Sánchez-Vincitore, Laura V.
Cubilla-Bonnetier, Daniel
Marte-Santana, Hugo
Duñabeitia, Jon Andoni
author_facet Sánchez-Vincitore, Laura V.
Cubilla-Bonnetier, Daniel
Marte-Santana, Hugo
Duñabeitia, Jon Andoni
author_sort Sánchez-Vincitore, Laura V.
collection PubMed
description Cognitive decline usually begins after individuals reach maturity, which is more evident in late adulthood. Rapid and constant cognitive screenings allow early detection of cognitive decline and motivate individuals to participate in prevention interventions. Due to accelerated technological advances, cognitive screening and training are now available to the layperson using electronic devices connected to the internet. Large datasets generated by these platforms provide a unique opportunity to explore cognitive development throughout life and across multiple naturalistic environments. However, such data collection mechanisms must be validated. This study aimed to determine whether the data gathered by commercial visuospatial and phonological working memory tests (CogniFit Inc., San Francisco, USA) confirm the well-established argument that age predicts cognitive decline. Data from 3,212 participants (2,238 females) who were 45 years old or older were analyzed. A linear regression analysis explored the relationship between age and working memory while controlling for gender, sleep quality, and physical activity (variables that are known to affect working memory). We found that age negatively predicts working memory. Furthermore, there was an interaction between age and gender for visuospatial working memory, indicating that although male participants significantly outperformed females, the relationship between age and working memory differs for females and males. Our results suggest that the computerized assessment of visuospatial and phonological working memory is sensible enough to predict cognitive functions in aging. Suggestions for improving the sensitivity of self-reports are discussed. Further studies must explore the nature of gender effects on cognitive aging.
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spelling pubmed-105850372023-10-20 Cognitive decline monitoring through a web-based application Sánchez-Vincitore, Laura V. Cubilla-Bonnetier, Daniel Marte-Santana, Hugo Duñabeitia, Jon Andoni Front Aging Neurosci Neuroscience Cognitive decline usually begins after individuals reach maturity, which is more evident in late adulthood. Rapid and constant cognitive screenings allow early detection of cognitive decline and motivate individuals to participate in prevention interventions. Due to accelerated technological advances, cognitive screening and training are now available to the layperson using electronic devices connected to the internet. Large datasets generated by these platforms provide a unique opportunity to explore cognitive development throughout life and across multiple naturalistic environments. However, such data collection mechanisms must be validated. This study aimed to determine whether the data gathered by commercial visuospatial and phonological working memory tests (CogniFit Inc., San Francisco, USA) confirm the well-established argument that age predicts cognitive decline. Data from 3,212 participants (2,238 females) who were 45 years old or older were analyzed. A linear regression analysis explored the relationship between age and working memory while controlling for gender, sleep quality, and physical activity (variables that are known to affect working memory). We found that age negatively predicts working memory. Furthermore, there was an interaction between age and gender for visuospatial working memory, indicating that although male participants significantly outperformed females, the relationship between age and working memory differs for females and males. Our results suggest that the computerized assessment of visuospatial and phonological working memory is sensible enough to predict cognitive functions in aging. Suggestions for improving the sensitivity of self-reports are discussed. Further studies must explore the nature of gender effects on cognitive aging. Frontiers Media S.A. 2023-10-05 /pmc/articles/PMC10585037/ /pubmed/37869371 http://dx.doi.org/10.3389/fnagi.2023.1212496 Text en Copyright © 2023 Sánchez-Vincitore, Cubilla-Bonnetier, Marte-Santana and Duñabeitia. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Sánchez-Vincitore, Laura V.
Cubilla-Bonnetier, Daniel
Marte-Santana, Hugo
Duñabeitia, Jon Andoni
Cognitive decline monitoring through a web-based application
title Cognitive decline monitoring through a web-based application
title_full Cognitive decline monitoring through a web-based application
title_fullStr Cognitive decline monitoring through a web-based application
title_full_unstemmed Cognitive decline monitoring through a web-based application
title_short Cognitive decline monitoring through a web-based application
title_sort cognitive decline monitoring through a web-based application
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585037/
https://www.ncbi.nlm.nih.gov/pubmed/37869371
http://dx.doi.org/10.3389/fnagi.2023.1212496
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